scispace - formally typeset
Search or ask a question

How instructors integrate feedback and assessment data in education setting? 


Best insight from top research papers

In educational settings, instructors integrate feedback and assessment data through various methods. Research indicates that instructors experience a range of emotions related to feedback, with dialogic feed-forward interventions building strong learning relationships and transforming educators . Additionally, the adoption of personalized feedback tools is associated with student performance, year level, and discipline, emphasizing the need for a comprehensive understanding of feedback over the entire program of study . Analyzing instructor-provided feedback using Natural Language Processing techniques can reveal significant contributors to student success, such as the inclusion of specific keywords and student names . Moreover, feedback in communicative Spanish classrooms affects student performance differently based on task types, suggesting the importance of aligning feedback modality with the task at hand . These insights highlight the complexity and importance of integrating feedback and assessment data in educational practices.

Answers from top 5 papers

More filters
Papers (5)Insight
Instructors integrate feedback and assessment data in educational settings through a framework and engine allowing modification of assessments and visualization of gameplay data.
Instructors integrate feedback by aligning it with task types in the Integrated Performance Assessment framework, benefiting learners in interpretive and presentational tasks but hindering progress in interpersonal tasks.
Instructors integrate feedback by experiencing emotions like distance with summative feedback and closeness with dialogic feed-forward, building strong relationships and transforming as educators in the process.
Instructors integrate feedback by analyzing student grades post-feedback using NLP techniques. They identify key elements like sentiment, keywords, and student names to enhance feedback quality and student performance.
Instructors integrate feedback and assessment data by considering topics, student performance, course year level, and discipline, as highlighted in the study on a personalized feedback tool adoption.

Related Questions

How can feedback make teaching responsive?5 answersFeedback plays a crucial role in making teaching responsive by enhancing learning processes and promoting student engagement. Through dialogic feedback practices, teachers can elicit and assess student thinking, interpret their ideas, and respond in real-time to support their learning behaviors, thus embodying responsive teaching. Engaging students and teachers in feedback processes at a grassroots level fosters participation and emphasizes the importance of student voices in driving improvements. Additionally, providing direct, daily feedback to students during the learning process can impact student learning, particularly through metacognitive growth. As novice teachers engage in dialogic conversations and receive feedback, they have opportunities to develop adaptive expertise and implement responsive instructional practices effectively. This collective learning within a discourse community supports individual growth in implementing responsive teaching practices.
What is the relationship between assessment and feedback?4 answersAssessment and feedback are closely related in the context of coaching and education. Assessment involves gathering information about individuals through informal or formal means, such as interviews or instruments, to identify areas for improvement. Feedback, on the other hand, focuses on providing information to the individual based on the assessment, prompting self-reflection and guiding actions. In coaching, assessment and feedback are used to go beyond traditional approaches and facilitate transformational change. Feedback is also a crucial element in the learning process, influencing learning quality and student outcomes. However, the implementation of feedback in higher education remains a challenge, with the field of inquiry still in its early stages. The use of assessment rubrics can enhance the effectiveness of feedback by providing clear expectations and standards for students. Overall, assessment and feedback are interconnected processes that play a vital role in promoting growth and learning.
What are the benefits of providing feedback in education?4 answersProviding feedback in education has several benefits. Firstly, it allows teachers to gain valuable insights into the effectiveness of their teaching methods and identify areas that need improvement. Feedback also plays a powerful role in guiding students' behavior and helping them acquire new skills essential for self-determined lives. Additionally, feedback enhances students' comprehension and promotes learner autonomy, especially in challenging teaching contexts like online learning. Moreover, incorporating students' feedback in the curriculum and course design process makes them active participants and enhances their learning experience. Lastly, effective instructional feedback has a powerful impact on student achievement, promoting student success and self-regulation.
How can feedback improve teaching?4 answersFeedback can improve teaching by providing teachers with valuable information about their instructional quality and performance, allowing them to reflect on their teaching practices and make necessary improvements. It helps teachers identify blind spots and correct false self-assessments, leading to a reduction in discrepancies between their performance and set goals. Feedback also enables teachers to implement democratic principles and experience self-efficacy. By using student feedback and other performance measures, teaching staff can raise the standards of teaching and improve its quality. Additionally, feedback guides students in their learning process, supporting them in achieving their learning goals. It serves as a mechanism for both teachers' and students' future learning, providing insights into comprehension, boundaries, and features of knowledge that should be applied in work or learning approaches. Overall, feedback is an essential component of effective teaching, helping teachers enhance their performance and improve student outcomes.
How can teacher feedback be used to improve student learning?5 answersTeacher feedback can be used to improve student learning by providing written and verbal feedback that is based on individual students' needs and abilities. Teachers should pay attention to the formulation, timing, and other principles of feedback to ensure its effectiveness. Diagnostic assessment and feedback should be seen as a complement to learning-level assessment. Different feedback procedures related to content, task, learning processes, and self-regulation should be considered. Teachers can use written feedback that offers students agency, allowing them to have more choice and requiring more effort for revision, which can lead to greater learning and improvement. Timely feedback is preferred by students to help improve their performance. Teachers should also reflect on their practices, seek and analyze student feedback, and revise courses accordingly to improve the quality of courses and teaching practices.
What is the impact of assessment feedback on student academic performance?5 answersAssessment feedback can have an emotional impact on students and may demotivate them, potentially leading to them considering leaving university. Class participation and feedback are important for improving students' performance, and a multidimensional system called the Work-In-Class Assessment Tool (WICAT) has been developed to objectively grade class participation and provide weekly feedback. Video feedback (VF) does not significantly improve student attitudes about instructors or their performance, suggesting the need for a solid understanding of students' ability to utilize feedback before focusing on the delivery channel. Feedback is critical for student learning, but challenges arise for instructors to provide quality feedback to individual students. Analyzing instructor-provided feedback using Natural Language Processing (NLP) techniques can help determine its correlation with changes in student grades, and certain feedback characteristics have been found to contribute to student success. Academic feedback has a direct impact on students' effort decisions and academic performance.

See what other people are reading

What is the important of theory in community development works?
5 answers
Theory plays a crucial role in guiding community development works by providing a framework for understanding complex social dynamics and facilitating effective practices. Various development theories, such as modernization theory and participatory theatre theories, inform community development practices and help in achieving successful project implementations. Postmodernism and critical theories are also essential in academia and community development scholarship, emphasizing the importance of cultural capital and critical evaluation of approaches in community development work. The absence of a proper scientific theory in community development has been highlighted, with the proposal of the basic needs theory to address this gap and enable the identification and prioritization of community needs for sustainable development outcomes. Ultimately, theory serves as a guiding light in navigating the complexities of community development processes and ensuring impactful outcomes.
Evaluation of students' comprehensive quality based on natural language processing technology?
10 answers
The evaluation of students' comprehensive quality leveraging natural language processing (NLP) technology represents a significant advancement in educational assessment methodologies. Traditional manual correction of handwritten answer booklets is both time-consuming and labor-intensive for educators. Automated evaluation systems employing deep learning (DL) and NLP techniques, as proposed in two studies, offer a solution by extracting text from image files using GCP OCR text extract models and summarizing extensive answers using BERT and GPT-3, thereby facilitating a more efficient evaluation process. In the realm of simulation-based medical education (SBME), incorporating NLP to automate performance assessment aligns with the need for multimodal assessment, addressing the limitations of current instructor-based assessments which often lack real-time feedback. Similarly, the design of a comprehensive quality evaluation system for college students based on evolutionary algorithms suggests the integration of qualitative and quantitative evaluations, which could be enhanced by NLP technologies to analyze textual data for more nuanced insights into student performance. The development of a mobile application for evaluating reading comprehension in elementary students demonstrates the practical application of NLP in educational settings, highlighting its potential to assess student performance through interactive and automated means. Furthermore, a model for evaluating the overall quality of learners based on specific personality words and cluster analysis indicates the broader applicability of NLP in assessing various dimensions of student performance, including behavioral and psychological aspects. Research in English education underscores the urgency of adopting intelligent algorithms, such as deep learning, to enhance the efficiency and fairness of evaluations, which could be complemented by NLP techniques for text analysis and scoring. The comprehensive reform of students’ psychological education through big data and NLP technologies further illustrates the potential of these tools in facilitating a more integrated and holistic approach to student assessment. Lastly, the exploration of comprehensive English quality tests and evaluations in the context of big data reflects the ongoing efforts to optimize educational assessment methods, including the use of NLP to evaluate students' comprehensive quality in a more nuanced and data-driven manner.
The influence of natural language processing technology on educational evaluation?
10 answers
The influence of Natural Language Processing (NLP) technology on educational evaluation is profound and multifaceted, significantly enhancing the quality, efficiency, and scope of assessments across various educational settings. NLP facilitates the automation of course learning outcomes to program learning outcomes mapping, demonstrating high precision in comparison to domain experts' manual mapping, thereby streamlining quality control processes within higher education. In the realm of simulation-based medical education, NLP enables the automation of performance assessments, synchronizing evaluations with changes at learner, instructor, and training environment levels, thus overcoming the limitations of traditional assessment methods. Moreover, NLP technologies have been applied to teacher evaluations, employing topic modeling and text clustering to analyze teaching effectiveness with notable accuracy. This approach addresses the biases and limitations inherent in conventional evaluation methods, offering a more objective and comprehensive assessment of teaching quality. The integration of NLP in educational tools, such as the development of web-based applications for subjective answer evaluation, showcases the potential to significantly reduce manual effort and improve the objectivity and speed of student assessments. The application of NLP in evaluating student competencies, especially in STEM education, highlights its utility in assessing higher-order cognitive functions and providing personalized feedback, thereby supporting competency-based learning models. Additionally, NLP's role in automating the evaluation of handwritten answer booklets through advanced techniques like BERT and GPT-3 demonstrates its capability to streamline the grading process, offering a solution to the time-consuming task of manual correction. Furthermore, the use of NLP in educational settings extends to enhancing communication and interaction through the deployment of NAO educational robots, indicating its broader impact on facilitating learning and teaching. Collectively, these advancements underscore the transformative potential of NLP technology in reshaping educational evaluation, making it more efficient, accurate, and aligned with the needs of modern educational paradigms.
Benchmarking BIM for malaysia future developments ?
5 answers
Benchmarking BIM for future developments in Malaysia involves assessing its current implementation and addressing challenges to enhance its utilization. Studies highlight that BIM offers benefits like cost and time reduction, improved collaboration, and better project quality. However, challenges persist, such as high costs for SMEs, limited implementation, and the need for more efforts to fully leverage BIM benefits. Malaysian Quantity Surveyors show moderate knowledge of BIM but low implementation levels, mainly using BIM tools for cost estimation only. To benchmark BIM development, addressing challenges like cost issues, enhancing awareness, and promoting wider adoption among construction professionals, especially SMEs and Quantity Surveyors, is crucial for Malaysia's future construction industry advancements.
Is embodied learning studied in secondary education?
5 answers
Embodied learning is indeed studied in secondary education. Research has shown that embodied learning approaches can be implemented to enhance learning experiences for students in this educational stage. Studies have highlighted the benefits of incorporating body-based learning activities in remote instruction, as well as the positive impact of embodied learning on language skills, motor skills, memory skills, and foreign language acquisition in children ranging from kindergarten to elementary school ages. Furthermore, projects involving embodied learning, such as creating music videos that combine music and movement compositions, have been successfully conducted in seventh-grade classrooms, emphasizing active participation, multi-sensory experiences, and reflective assignments to enhance learning. These findings collectively demonstrate the relevance and effectiveness of embodied learning in secondary education settings.
What are the key components needed for building an effective IoT-based weather monitoring system?
5 answers
To build an effective IoT-based weather monitoring system, key components include sensors for monitoring environmental factors like temperature, humidity, and pressure, wireless sensors for real-time climate parameter detection, devices such as ESP32 Microcontroller, SHTC3 Sensor, BMP180, Windspeed Anemometer, Wind Direction Anemometer, and Tipping Bucket Rain Ombrometer for data acquisition, and communication protocols like MQTT, WebSocket, and HTTP Request for data transfer and visualization. Additionally, utilizing algorithms like Mayfly hybrid algorithm and Optimization shuffled shepherd algorithm can enhance the accuracy of climate data results. Implementing IoT technology to extract, store, and upload data to the cloud is crucial for creating a smart community with local weather reporting systems.
What is Talent Management? Definition, Strategy, Process and Models?
5 answers
Talent management is a strategic approach that focuses on attracting, identifying, developing, engaging, retaining, and deploying individuals who are particularly valuable to an organization. It involves recognizing talent as a unique ability comprising skills, adaptability, and acquiescence, which are crucial for organizational success. Effective talent management strategies aim to align with business goals and strategic objectives, nurturing employees' potential and investing in their development to create a positive work culture fostering innovation, creativity, and adaptability. This process includes talent acquisition, appraisal systems, competency identification, and potential forecasting to ensure the right talent is in the right place within the organization. By implementing talent management models, organizations can enhance job satisfaction, employee engagement, and productivity, ultimately achieving sustainable success through a skilled and motivated workforce.
What are outcome needed from talent development model?
5 answers
The outcomes needed from a talent development model span across various dimensions, reflecting the multifaceted nature of talent cultivation and its impact on individuals and organizations. Firstly, a talent development model should aim to identify predictors and indicators of talent, providing a multidimensional and dynamic view of talent development, as seen in the TAD music model which emphasizes cognitive abilities, personality traits, and psychosocial skills. It should also improve the orientation of talent training, adapting to new societal requirements and enhancing the acceptance and effectiveness of training models among students and teachers, as demonstrated by the improved evaluation scores in music education. Moreover, the model should incorporate predictive analytics to forecast talent retention, thereby aiding organizations in making informed hiring decisions and optimizing resource investment in talent development. It's crucial for the model to foster an inclusive educational environment that supports all students, particularly those from disadvantaged backgrounds, leading to improvements in school climate, student attendance, and promotion rates. Additionally, the model should facilitate the identification of gifted and talented students and promote tools for their development, addressing the needs of these students through comprehensive and integrated approaches. The Talent Development model should also redirect the traditional function of schooling towards maximizing every child's potential for academic development, ensuring that all students can learn in demanding, high-expectation settings. It's important for the model to support the specific and evolving nature of talent, providing assessment and intervention strategies that sustain talent development. Furthermore, the model should employ evidence-based strategies to promote academic achievement and social competence, particularly among minority and low-income students. Lastly, it should contribute to the reform of secondary education in urban settings, aligning with recent commitments from educators and policymakers.
How does technology impacts students learning?
5 answers
Technology has a significant impact on students' learning outcomes and engagement. While technology can enhance efficiency, effectiveness, and content enrichment in learning, it also poses challenges like distractions, health impacts, and dependence. Positive effects include improved academic achievement, knowledge retention, critical thinking skills, increased student engagement, motivation, and teacher-student interactions. Technology enables remote learning, collaboration, personalized learning, and expanded access to education. However, issues like hardware failures, software incompatibilities, and dishonest behavior due to technology misuse exist. Proper management of technology integration, balanced digital skills development, and keeping learning outcomes as a priority in course design are crucial for optimizing technology's role in promoting effective learning experiences.
What is emphatize in design thinking and what is the objective?
5 answers
Empathize in design thinking is a crucial stage that focuses on understanding human needs and experiences. It involves putting oneself in the shoes of the users to gain insights into their perspectives, emotions, and challenges. The objective of empathizing is to gather deep insights that will inform the design process and ensure that the final product or service truly meets the users' needs and expectations. By empathizing, designers can develop a profound understanding of the problem at hand and create solutions that are truly user-centered. This empathetic approach distinguishes design thinking from other problem-solving methods by prioritizing human experiences and needs throughout the design process.
What is self directed learning?
5 answers
Self-directed learning (SDL) is an educational approach where learners take charge of their learning process, making decisions on what, how, where, and when to learn. It involves learners diagnosing their learning gaps, setting goals, choosing resources, implementing learning strategies, and evaluating outcomes. SDL is crucial in promoting student readiness for learning, skill development, and professional practice, especially in fields like nursing. In education, SDL has been found to be more effective than traditional teacher-guided learning, as it allows learners to select tasks and materials independently. The concept of SDL emphasizes flexibility, creativity, and learner autonomy, encouraging lifelong learning and skill enhancement.